add ltgt wb daily
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1 | import os | ||
2 | import re | ||
3 | import time | ||
4 | import shutil | ||
5 | import base64 | ||
6 | import signal | ||
7 | import requests | ||
8 | import traceback | ||
9 | from PIL import Image | ||
10 | from datetime import datetime | ||
11 | from django.core.management import BaseCommand | ||
12 | from multiprocessing import Process, Queue | ||
13 | from openpyxl import load_workbook, Workbook | ||
14 | |||
15 | from settings import conf | ||
16 | from common.mixins import LoggerMixin | ||
17 | from common.tools.pdf_to_img import PDFHandler | ||
18 | from apps.doc import consts | ||
19 | from apps.doc.exceptions import OCR1Exception, OCR4Exception, LTGTException | ||
20 | from apps.doc.ocr.wb import BSWorkbook | ||
21 | |||
22 | |||
23 | class TIFFHandler: | ||
24 | |||
25 | def __init__(self, path, img_save_path): | ||
26 | self.path = path | ||
27 | self.img_save_path = img_save_path | ||
28 | self.img_path_list = [] | ||
29 | |||
30 | def extract_image(self): | ||
31 | os.makedirs(self.img_save_path, exist_ok=True) | ||
32 | tiff = Image.open(self.path) | ||
33 | tiff.load() | ||
34 | |||
35 | for i in range(tiff.n_frames): | ||
36 | try: | ||
37 | save_path = os.path.join(self.img_save_path, 'page_{0}.jpeg'.format(i)) | ||
38 | tiff.seek(i) | ||
39 | tiff.save(save_path) | ||
40 | self.img_path_list.append(save_path) | ||
41 | except EOFError: | ||
42 | break | ||
43 | |||
44 | |||
45 | class Command(BaseCommand, LoggerMixin): | ||
46 | |||
47 | def __init__(self): | ||
48 | super().__init__() | ||
49 | self.log_base = '[folder ltgt process]' | ||
50 | # 处理文件开关 | ||
51 | self.switch = True | ||
52 | self.ltgt_classify_mapping = { | ||
53 | 128: '执行裁定书', | ||
54 | 129: '民事判决书', | ||
55 | 130: '民事调解书' | ||
56 | } | ||
57 | self.sheet_content = { | ||
58 | 128: ('执行裁定书', ('承办法院', '案号/标号', '被执行人', '债权金额', '诉讼时间')), | ||
59 | 129: ('民事判决书', ('承办法院', '案号/标号', '被告', '判决结果: 贷款本金', '判决结果: 罚息', '判决结果: 律师费', '判决结果: 案件受理费', '诉讼时间')), | ||
60 | 130: ('民事调解书', ('承办法院', '案号/标号', '被告', '协议内容: 支付金额', '协议内容: 案件受理费', '诉讼时间')), | ||
61 | } | ||
62 | self.DATE_KEY = 'date' | ||
63 | self.CLASSIFY_KEY = 'classify' | ||
64 | self.RESULT_KEY = 'result' | ||
65 | self.daily_wb_name = 'Output_{0}.xlsx' | ||
66 | self.short_sleep_time = 10 | ||
67 | self.long_sleep_time = 3600 | ||
68 | # 睡眠时间 | ||
69 | self.sleep_time = float(conf.SLEEP_SECOND_FOLDER) | ||
70 | # input folder | ||
71 | self.input_dirs = conf.get_namespace('LTGT_DIR_') | ||
72 | # ocr相关 | ||
73 | # self.ocr_url = conf.OCR_URL_FOLDER | ||
74 | # self.ocr_url_4 = conf.IC_URL | ||
75 | self.ltgt_ocr_url = conf.LTGT_URL | ||
76 | # 优雅退出信号:15 | ||
77 | signal.signal(signal.SIGTERM, self.signal_handler) | ||
78 | |||
79 | def signal_handler(self, sig, frame): | ||
80 | self.switch = False # 停止处理文件 | ||
81 | |||
82 | def license1_process(self, ocr_data, license_summary, classify, img_path): | ||
83 | # 类别:'0'身份证, '1'居住证 | ||
84 | license_data = ocr_data.get('data', []) | ||
85 | if not license_data: | ||
86 | return | ||
87 | if classify == consts.MVC_CLASSIFY: # 车辆登记证 3/4页结果整合 | ||
88 | for mvc_dict in license_data: | ||
89 | try: | ||
90 | mvc_page = mvc_dict.pop('page') | ||
91 | except Exception as e: | ||
92 | pass | ||
93 | else: | ||
94 | if mvc_page == 'VehicleRegArea': | ||
95 | mvc_res = mvc_dict.pop('results', {}) | ||
96 | mvc_dict['机动车登记证书编号'] = mvc_res.get('register_no', {}).get('words', '') | ||
97 | for register_info in mvc_res.get('register_info', []): | ||
98 | for detail_dict in register_info.get('details', {}).values(): | ||
99 | mvc_dict.setdefault(detail_dict.get('chinese_key', '未知'), []).append( | ||
100 | detail_dict.get('words', '')) | ||
101 | del mvc_res | ||
102 | if classify == consts.IC_CLASSIFY: | ||
103 | for id_card_dict in license_data: | ||
104 | try: | ||
105 | base64_img = id_card_dict.pop('base64_img') | ||
106 | except Exception as e: | ||
107 | continue | ||
108 | else: | ||
109 | card_type = -1 | ||
110 | json_data_4 = { | ||
111 | 'mode': 1, | ||
112 | 'user_info': { | ||
113 | 'image_content': base64_img, | ||
114 | }, | ||
115 | 'options': { | ||
116 | 'distinguish_type': 1, | ||
117 | 'auto_rotate': True, | ||
118 | }, | ||
119 | } | ||
120 | for times in range(consts.RETRY_TIMES): | ||
121 | try: | ||
122 | start_time = time.time() | ||
123 | ocr_4_response = requests.post(self.ocr_url_4, json=json_data_4) | ||
124 | if ocr_4_response.status_code != 200: | ||
125 | raise OCR4Exception('ocr_4 status code: {0}'.format(ocr_4_response.status_code)) | ||
126 | except Exception as e: | ||
127 | self.folder_log.warn( | ||
128 | '{0} [ocr_4 failed] [times={1}] [img_path={2}] [error={3}]'.format( | ||
129 | self.log_base, times, img_path, traceback.format_exc())) | ||
130 | else: | ||
131 | ocr_4_res = ocr_4_response.json() | ||
132 | end_time = time.time() | ||
133 | speed_time = int(end_time - start_time) | ||
134 | |||
135 | if ocr_4_res.get('code') == 0 and ocr_4_res.get('result', {}).get('rtn') == 0: | ||
136 | card_type = ocr_4_res.get('result', {}).get( | ||
137 | 'idcard_distinguish_result', {}).get('result', -1) | ||
138 | |||
139 | self.folder_log.info( | ||
140 | '{0} [ocr_4 success] [img_path={1}] [speed_time={2}]'.format( | ||
141 | self.log_base, img_path, speed_time)) | ||
142 | break | ||
143 | else: | ||
144 | self.folder_log.warn( | ||
145 | '{0} [ocr_4 failed] [img_path={1}]'.format(self.log_base, img_path)) | ||
146 | |||
147 | id_card_dict[consts.IC_TURE_OR_FALSE] = consts.IC_RES_MAPPING.get(card_type) | ||
148 | license_summary.setdefault(classify, []).extend(license_data) | ||
149 | |||
150 | @staticmethod | ||
151 | def parse_img_path(img_path): | ||
152 | # 'page_{0}_img_{1}.{2}'.format(pno, img_index, ext) | ||
153 | img_name, _ = os.path.splitext(os.path.basename(img_path)) | ||
154 | if re.match(r'page_\d+_img_\d+', img_name): | ||
155 | part_list = img_name.split('_') | ||
156 | return img_name, int(part_list[1])+1, int(part_list[3])+1 | ||
157 | else: | ||
158 | return img_name, 1, 1 | ||
159 | |||
160 | @staticmethod | ||
161 | def get_path(name, img_output_dir, wb_output_dir, pdf_output_dir): | ||
162 | time_stamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S') | ||
163 | new_name = '{0}_{1}'.format(time_stamp, name) | ||
164 | img_save_path = os.path.join(img_output_dir, new_name) | ||
165 | pdf_save_path = os.path.join(pdf_output_dir, new_name) | ||
166 | excel_name = '{0}.xlsx'.format(os.path.splitext(new_name)[0]) | ||
167 | excel_path = os.path.join(wb_output_dir, excel_name) | ||
168 | return img_save_path, excel_path, pdf_save_path | ||
169 | |||
170 | def res_process(self, all_res, classify, excel_path): | ||
171 | try: | ||
172 | license_summary = {} | ||
173 | |||
174 | if not all_res: | ||
175 | return | ||
176 | else: | ||
177 | for img_path, ocr_res in all_res.items(): | ||
178 | # img_name, pno, ino = self.parse_img_path(img_path) | ||
179 | # part_idx = 1 | ||
180 | |||
181 | if isinstance(ocr_res, dict): | ||
182 | if ocr_res.get('code') == 1: | ||
183 | data_list = ocr_res.get('data', []) | ||
184 | if isinstance(data_list, list): | ||
185 | for ocr_data in data_list: | ||
186 | # part_idx = part_idx + 1 | ||
187 | self.license1_process(ocr_data, license_summary, classify, img_path) | ||
188 | |||
189 | wb = BSWorkbook(set(), set(), set(), set(), set()) | ||
190 | wb.simple_license_rebuild(license_summary, consts.DOC_SCHEME_LIST[0]) | ||
191 | wb.remove_base_sheet() | ||
192 | wb.save(excel_path) | ||
193 | except Exception as e: | ||
194 | self.folder_log.error('{0} [wb build error] [path={1}] [error={2}]'.format( | ||
195 | self.log_base, excel_path, traceback.format_exc())) | ||
196 | |||
197 | def ocr_process(self, img_path, classify): | ||
198 | if os.path.exists(img_path): | ||
199 | # TODO 图片验证 | ||
200 | with open(img_path, 'rb') as f: | ||
201 | base64_data = base64.b64encode(f.read()) | ||
202 | # 获取解码后的base64值 | ||
203 | file_data = base64_data.decode() | ||
204 | json_data = { | ||
205 | "file": file_data, | ||
206 | "classify": classify | ||
207 | } | ||
208 | |||
209 | for times in range(consts.RETRY_TIMES): | ||
210 | try: | ||
211 | start_time = time.time() | ||
212 | ocr_response = requests.post(self.ocr_url, json=json_data) | ||
213 | if ocr_response.status_code != 200: | ||
214 | raise OCR1Exception('{0} ocr status code: {1}'.format(self.log_base, ocr_response.status_code)) | ||
215 | except Exception as e: | ||
216 | self.folder_log.warn('{0} [ocr failed] [times={1}] [img_path={2}] [error={3}]'.format( | ||
217 | self.log_base, times, img_path, traceback.format_exc())) | ||
218 | else: | ||
219 | ocr_res = ocr_response.json() | ||
220 | end_time = time.time() | ||
221 | speed_time = int(end_time - start_time) | ||
222 | self.folder_log.info('{0} [ocr success] [img={1}] [res={2}] [speed_time={3}]'.format( | ||
223 | self.log_base, img_path, ocr_res, speed_time)) | ||
224 | return ocr_res | ||
225 | else: | ||
226 | self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path)) | ||
227 | |||
228 | def ltgt_ocr_process(self, img_path_list, label, path): | ||
229 | img_data_list = [] | ||
230 | |||
231 | for img_path in img_path_list: | ||
232 | if os.path.exists(img_path): | ||
233 | with open(img_path, 'rb') as f: | ||
234 | base64_data = base64.b64encode(f.read()) | ||
235 | # 获取解码后的base64值 | ||
236 | file_data = base64_data.decode() | ||
237 | img_data_list.append(file_data) | ||
238 | |||
239 | json_data = { | ||
240 | "label": label, | ||
241 | "img_data_list": img_data_list | ||
242 | } | ||
243 | |||
244 | for times in range(consts.RETRY_TIMES): | ||
245 | try: | ||
246 | start_time = time.time() | ||
247 | ocr_response = requests.post(self.ltgt_ocr_url, json=json_data) | ||
248 | if ocr_response.status_code != 200: | ||
249 | raise LTGTException('{0} ltgt ocr status code: {1}'.format(self.log_base, ocr_response.status_code)) | ||
250 | except Exception as e: | ||
251 | self.folder_log.warn('{0} [ltgt ocr failed] [times={1}] [path={2}] [error={3}]'.format( | ||
252 | self.log_base, times, path, traceback.format_exc())) | ||
253 | else: | ||
254 | ocr_res = ocr_response.json() | ||
255 | end_time = time.time() | ||
256 | speed_time = int(end_time - start_time) | ||
257 | self.folder_log.info('{0} [ltgt ocr success] [path={1}] [res={2}] [speed_time={3}]'.format( | ||
258 | self.log_base, path, ocr_res, speed_time)) | ||
259 | return ocr_res | ||
260 | else: | ||
261 | self.folder_log.warn('{0} [ltgt ocr failed] [path={1}]'.format(self.log_base, path)) | ||
262 | |||
263 | def ltgt_res_process(self, ocr_res, label, excel_path): | ||
264 | try: | ||
265 | if isinstance(ocr_res, dict): | ||
266 | if ocr_res.get('code') == 1: | ||
267 | result_dict = ocr_res.get('data', {}) | ||
268 | |||
269 | wb = BSWorkbook(set(), set(), set(), set(), set()) | ||
270 | rebuild_res = wb.ltgt_build(label, result_dict) | ||
271 | wb.remove_base_sheet() | ||
272 | wb.save(excel_path) | ||
273 | return rebuild_res | ||
274 | except Exception as e: | ||
275 | self.folder_log.error('{0} [wb build error] [path={1}] [error={2}]'.format( | ||
276 | self.log_base, excel_path, traceback.format_exc())) | ||
277 | |||
278 | def ltgt_process(self, img_path_list, label, excel_path, path): | ||
279 | ocr_res = self.ltgt_ocr_process(img_path_list, label, path) | ||
280 | rebuild_res = self.ltgt_res_process(ocr_res, label, excel_path) | ||
281 | return rebuild_res | ||
282 | |||
283 | def images_process(self, img_path_list, classify, excel_path): | ||
284 | all_res = {} | ||
285 | for img_path in img_path_list: | ||
286 | ocr_res = self.ocr_process(img_path, classify) | ||
287 | all_res[img_path] = ocr_res | ||
288 | self.res_process(all_res, classify, excel_path) | ||
289 | |||
290 | def pdf_process(self, name, path, classify, img_output_dir, wb_output_dir, pdf_output_dir): | ||
291 | if os.path.exists(path): | ||
292 | rebuild_res = None | ||
293 | try: | ||
294 | img_save_path, excel_path, pdf_save_path = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir) | ||
295 | self.folder_log.info('{0} [pdf to img start] [path={1}]'.format(self.log_base, path)) | ||
296 | pdf_handler = PDFHandler(path, img_save_path) | ||
297 | if classify in self.ltgt_classify_mapping: | ||
298 | pdf_handler.extract_page_image() | ||
299 | else: | ||
300 | pdf_handler.extract_image() | ||
301 | self.folder_log.info('{0} [pdf to img end] [path={1}]'.format(self.log_base, path)) | ||
302 | except Exception as e: | ||
303 | self.folder_log.error('{0} [pdf to img error] [path={1}] [error={2}]'.format( | ||
304 | self.log_base, path, traceback.format_exc())) | ||
305 | raise e | ||
306 | else: | ||
307 | if classify in self.ltgt_classify_mapping: | ||
308 | rebuild_res = self.ltgt_process(pdf_handler.img_path_list, self.ltgt_classify_mapping[classify], | ||
309 | excel_path, path) | ||
310 | else: | ||
311 | self.images_process(pdf_handler.img_path_list, classify, excel_path) | ||
312 | shutil.move(path, pdf_save_path) | ||
313 | return rebuild_res | ||
314 | |||
315 | def tif_process(self, name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir): | ||
316 | if os.path.exists(path): | ||
317 | rebuild_res = None | ||
318 | try: | ||
319 | img_save_path, excel_path, tiff_save_path = self.get_path(name, img_output_dir, wb_output_dir, tiff_output_dir) | ||
320 | self.folder_log.info('{0} [tiff to img start] [path={1}]'.format(self.log_base, path)) | ||
321 | tiff_handler = TIFFHandler(path, img_save_path) | ||
322 | tiff_handler.extract_image() | ||
323 | self.folder_log.info('{0} [tiff to img end] [path={1}]'.format(self.log_base, path)) | ||
324 | except Exception as e: | ||
325 | self.folder_log.error('{0} [tiff to img error] [path={1}] [error={2}]'.format( | ||
326 | self.log_base, path, traceback.format_exc())) | ||
327 | raise e | ||
328 | else: | ||
329 | if classify in self.ltgt_classify_mapping: | ||
330 | rebuild_res = self.ltgt_process(tiff_handler.img_path_list, self.ltgt_classify_mapping[classify], | ||
331 | excel_path, path) | ||
332 | else: | ||
333 | self.images_process(tiff_handler.img_path_list, classify, excel_path) | ||
334 | shutil.move(path, tiff_save_path) | ||
335 | return rebuild_res | ||
336 | |||
337 | def img_process(self, name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir): | ||
338 | rebuild_res = None | ||
339 | try: | ||
340 | img_save_path, excel_path, _ = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir) | ||
341 | except Exception as e: | ||
342 | self.folder_log.error('{0} [get path error] [path={1}] [error={2}]'.format( | ||
343 | self.log_base, path, traceback.format_exc())) | ||
344 | else: | ||
345 | if classify in self.ltgt_classify_mapping: | ||
346 | rebuild_res = self.ltgt_process([path], self.ltgt_classify_mapping[classify], excel_path, path) | ||
347 | else: | ||
348 | ocr_res = self.ocr_process(path, classify) | ||
349 | all_res = {path: ocr_res} | ||
350 | self.res_process(all_res, classify, excel_path) | ||
351 | shutil.move(path, img_save_path) | ||
352 | return rebuild_res | ||
353 | |||
354 | def wb_process(self, wb_dir, result_queue): | ||
355 | while self.switch: | ||
356 | result_list = [] | ||
357 | date_str = None | ||
358 | for i in range(100): | ||
359 | try: | ||
360 | result = result_queue.get(block=False) | ||
361 | except Exception as e: | ||
362 | time.sleep(self.short_sleep_time) | ||
363 | else: | ||
364 | if date_str is None: | ||
365 | date_str = result[self.DATE_KEY] | ||
366 | result_list.append(result) | ||
367 | elif result[self.DATE_KEY] == date_str: | ||
368 | result_list.append(result) | ||
369 | else: | ||
370 | break | ||
371 | if date_str is None: | ||
372 | time.sleep(self.long_sleep_time) | ||
373 | continue | ||
374 | else: | ||
375 | wb_name = self.daily_wb_name.format(date_str) | ||
376 | wb_path = os.path.join(wb_dir, wb_name) | ||
377 | if os.path.isfile(wb_path): | ||
378 | wb = load_workbook(wb_path) | ||
379 | else: | ||
380 | wb = Workbook() | ||
381 | for result in result_list: | ||
382 | sheet_name, head_fields = self.sheet_content[result[self.CLASSIFY_KEY]] | ||
383 | row = [] | ||
384 | for field in head_fields: | ||
385 | row.append(result[self.RESULT_KEY].get(field)) | ||
386 | if sheet_name in wb.sheetnames: | ||
387 | ws = wb.get_sheet_by_name(sheet_name) | ||
388 | else: | ||
389 | ws = wb.create_sheet(sheet_name) | ||
390 | ws.append(head_fields) | ||
391 | ws.append(row) | ||
392 | wb.save(wb_path) | ||
393 | |||
394 | def folder_process(self, input_dir, classify, result_queue): | ||
395 | while not os.path.isdir(input_dir): | ||
396 | self.folder_log.info('{0} [input dir is not dir] [input_dir={1}]'.format(self.log_base, input_dir)) | ||
397 | if self.switch: | ||
398 | time.sleep(self.sleep_time) | ||
399 | continue | ||
400 | else: | ||
401 | return | ||
402 | output_dir = os.path.join(os.path.dirname(input_dir), 'Output') | ||
403 | img_output_dir = os.path.join(output_dir, 'image') | ||
404 | wb_output_dir = os.path.join(output_dir, 'excel') | ||
405 | pdf_output_dir = os.path.join(output_dir, 'pdf') | ||
406 | tiff_output_dir = os.path.join(output_dir, 'tiff') | ||
407 | failed_output_dir = os.path.join(output_dir, 'failed') | ||
408 | os.makedirs(output_dir, exist_ok=True) | ||
409 | os.makedirs(img_output_dir, exist_ok=True) | ||
410 | os.makedirs(wb_output_dir, exist_ok=True) | ||
411 | os.makedirs(pdf_output_dir, exist_ok=True) | ||
412 | os.makedirs(tiff_output_dir, exist_ok=True) | ||
413 | os.makedirs(failed_output_dir, exist_ok=True) | ||
414 | os_error_filename_set = set() | ||
415 | while self.switch: | ||
416 | # if not os.path.isdir(input_dir): | ||
417 | # self.folder_log.info('{0} [input dir is not dir] [input_dir={1}]'.format(self.log_base, input_dir)) | ||
418 | # time.sleep(self.sleep_time) | ||
419 | # continue | ||
420 | # 1. 从input dir获取pdf or image | ||
421 | list_dir = os.listdir(input_dir) | ||
422 | if not list_dir and len(os_error_filename_set) == 0: | ||
423 | self.folder_log.info('{0} [input dir empty] [input_dir={1}]'.format(self.log_base, input_dir)) | ||
424 | time.sleep(self.sleep_time) | ||
425 | continue | ||
426 | all_file_set = set(list_dir) | ||
427 | true_file_set = all_file_set - os_error_filename_set | ||
428 | if len(true_file_set) == 0 and len(os_error_filename_set) > 0: | ||
429 | true_file_set.add(os_error_filename_set.pop()) | ||
430 | for name in true_file_set: | ||
431 | path = os.path.join(input_dir, name) | ||
432 | |||
433 | try: | ||
434 | if os.path.isfile(path): | ||
435 | self.folder_log.info('{0} [file start] [path={1}]'.format(self.log_base, path)) | ||
436 | if name.endswith('.pdf') or name.endswith('.PDF'): | ||
437 | result = self.pdf_process(name, path, classify, img_output_dir, | ||
438 | wb_output_dir, pdf_output_dir) | ||
439 | elif name.endswith('.tif') or name.endswith('.TIF'): | ||
440 | result = self.tif_process(name, path, classify, img_output_dir, | ||
441 | wb_output_dir, tiff_output_dir) | ||
442 | else: | ||
443 | result = self.img_process(name, path, classify, wb_output_dir, | ||
444 | img_output_dir, pdf_output_dir) | ||
445 | self.folder_log.info('{0} [file end] [path={1}]'.format(self.log_base, path)) | ||
446 | else: | ||
447 | result = None | ||
448 | self.folder_log.info('{0} [path is dir] [path={1}]'.format(self.log_base, input_dir)) | ||
449 | failed_path = os.path.join(failed_output_dir, '{0}_{1}'.format(time.time(), name)) | ||
450 | shutil.move(path, failed_path) | ||
451 | except OSError: | ||
452 | os_error_filename_set.add(name) | ||
453 | self.folder_log.error('{0} [os error] [path={1}] [error={2}]'.format( | ||
454 | self.log_base, path, traceback.format_exc())) | ||
455 | except Exception as e: | ||
456 | try: | ||
457 | self.folder_log.error('{0} [file error] [path={1}] [error={2}]'.format(self.log_base, path, | ||
458 | traceback.format_exc())) | ||
459 | failed_path = os.path.join(failed_output_dir, '{0}_{1}'.format(time.time(), name)) | ||
460 | shutil.move(path, failed_path) | ||
461 | except Exception as e: | ||
462 | os_error_filename_set.add(name) | ||
463 | self.folder_log.error('{0} [file move error] [path={1}] [error={2}]'.format( | ||
464 | self.log_base, path, traceback.format_exc())) | ||
465 | else: | ||
466 | if isinstance(result, dict) and len(result) > 0: | ||
467 | date_str = time.strftime("%Y-%m-%d") | ||
468 | result_queue.put( | ||
469 | { | ||
470 | self.CLASSIFY_KEY: classify, | ||
471 | self.RESULT_KEY: result, | ||
472 | self.DATE_KEY: date_str | ||
473 | } | ||
474 | ) | ||
475 | elif isinstance(result, list) and len(result) > 0: | ||
476 | date_str = time.strftime("%Y-%m-%d") | ||
477 | for res in result: | ||
478 | result_queue.put( | ||
479 | { | ||
480 | self.CLASSIFY_KEY: classify, | ||
481 | self.RESULT_KEY: res, | ||
482 | self.DATE_KEY: date_str | ||
483 | } | ||
484 | ) | ||
485 | |||
486 | def handle(self, *args, **kwargs): | ||
487 | if len(self.input_dirs) == 0: | ||
488 | return | ||
489 | result_queue = Queue() | ||
490 | process_list = [] | ||
491 | one_input_dir = None | ||
492 | for classify_idx, input_dir in self.input_dirs.items(): | ||
493 | if one_input_dir is None: | ||
494 | one_input_dir = input_dir | ||
495 | classify = int(classify_idx.split('_')[0]) | ||
496 | process = Process(target=self.folder_process, args=(input_dir, classify, result_queue)) | ||
497 | process_list.append(process) | ||
498 | |||
499 | wb_dir = os.path.dirname(os.path.dirname(one_input_dir)) | ||
500 | wb_process = Process(target=self.wb_process, args=(wb_dir, result_queue, )) | ||
501 | process_list.append(wb_process) | ||
502 | |||
503 | for p in process_list: | ||
504 | p.start() | ||
505 | for p in process_list: | ||
506 | p.join() | ||
507 | |||
508 | self.folder_log.info('{0} [stop safely]'.format(self.log_base)) |
... | @@ -15,7 +15,7 @@ from settings import conf | ... | @@ -15,7 +15,7 @@ from settings import conf |
15 | from common.mixins import LoggerMixin | 15 | from common.mixins import LoggerMixin |
16 | from common.tools.pdf_to_img import PDFHandler | 16 | from common.tools.pdf_to_img import PDFHandler |
17 | from apps.doc import consts | 17 | from apps.doc import consts |
18 | from apps.doc.exceptions import OCR1Exception, OCR4Exception, LTGTException | 18 | from apps.doc.exceptions import OCR1Exception, OCR4Exception |
19 | from apps.doc.ocr.wb import BSWorkbook | 19 | from apps.doc.ocr.wb import BSWorkbook |
20 | 20 | ||
21 | 21 | ||
... | @@ -48,11 +48,6 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -48,11 +48,6 @@ class Command(BaseCommand, LoggerMixin): |
48 | self.log_base = '[folder ocr process]' | 48 | self.log_base = '[folder ocr process]' |
49 | # 处理文件开关 | 49 | # 处理文件开关 |
50 | self.switch = True | 50 | self.switch = True |
51 | self.ltgt_classify_mapping = { | ||
52 | 128: '执行裁定书', | ||
53 | 129: '民事判决书', | ||
54 | 130: '民事调解书' | ||
55 | } | ||
56 | # 睡眠时间 | 51 | # 睡眠时间 |
57 | self.sleep_time = float(conf.SLEEP_SECOND_FOLDER) | 52 | self.sleep_time = float(conf.SLEEP_SECOND_FOLDER) |
58 | # input folder | 53 | # input folder |
... | @@ -60,7 +55,6 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -60,7 +55,6 @@ class Command(BaseCommand, LoggerMixin): |
60 | # ocr相关 | 55 | # ocr相关 |
61 | self.ocr_url = conf.OCR_URL_FOLDER | 56 | self.ocr_url = conf.OCR_URL_FOLDER |
62 | self.ocr_url_4 = conf.IC_URL | 57 | self.ocr_url_4 = conf.IC_URL |
63 | self.ltgt_ocr_url = conf.LTGT_URL | ||
64 | # 优雅退出信号:15 | 58 | # 优雅退出信号:15 |
65 | signal.signal(signal.SIGTERM, self.signal_handler) | 59 | signal.signal(signal.SIGTERM, self.signal_handler) |
66 | 60 | ||
... | @@ -213,59 +207,6 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -213,59 +207,6 @@ class Command(BaseCommand, LoggerMixin): |
213 | else: | 207 | else: |
214 | self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path)) | 208 | self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path)) |
215 | 209 | ||
216 | def ltgt_ocr_process(self, img_path_list, label, path): | ||
217 | img_data_list = [] | ||
218 | |||
219 | for img_path in img_path_list: | ||
220 | if os.path.exists(img_path): | ||
221 | with open(img_path, 'rb') as f: | ||
222 | base64_data = base64.b64encode(f.read()) | ||
223 | # 获取解码后的base64值 | ||
224 | file_data = base64_data.decode() | ||
225 | img_data_list.append(file_data) | ||
226 | |||
227 | json_data = { | ||
228 | "label": label, | ||
229 | "img_data_list": img_data_list | ||
230 | } | ||
231 | |||
232 | for times in range(consts.RETRY_TIMES): | ||
233 | try: | ||
234 | start_time = time.time() | ||
235 | ocr_response = requests.post(self.ltgt_ocr_url, json=json_data) | ||
236 | if ocr_response.status_code != 200: | ||
237 | raise LTGTException('{0} ltgt ocr status code: {1}'.format(self.log_base, ocr_response.status_code)) | ||
238 | except Exception as e: | ||
239 | self.folder_log.warn('{0} [ltgt ocr failed] [times={1}] [path={2}] [error={3}]'.format( | ||
240 | self.log_base, times, path, traceback.format_exc())) | ||
241 | else: | ||
242 | ocr_res = ocr_response.json() | ||
243 | end_time = time.time() | ||
244 | speed_time = int(end_time - start_time) | ||
245 | self.folder_log.info('{0} [ltgt ocr success] [path={1}] [res={2}] [speed_time={3}]'.format( | ||
246 | self.log_base, path, ocr_res, speed_time)) | ||
247 | return ocr_res | ||
248 | else: | ||
249 | self.folder_log.warn('{0} [ltgt ocr failed] [path={1}]'.format(self.log_base, path)) | ||
250 | |||
251 | def ltgt_res_process(self, ocr_res, label, excel_path): | ||
252 | try: | ||
253 | if isinstance(ocr_res, dict): | ||
254 | if ocr_res.get('code') == 1: | ||
255 | result_dict = ocr_res.get('data', {}) | ||
256 | |||
257 | wb = BSWorkbook(set(), set(), set(), set(), set()) | ||
258 | rebuild_res = wb.ltgt_build(label, result_dict) | ||
259 | wb.remove_base_sheet() | ||
260 | wb.save(excel_path) | ||
261 | except Exception as e: | ||
262 | self.folder_log.error('{0} [wb build error] [path={1}] [error={2}]'.format( | ||
263 | self.log_base, excel_path, traceback.format_exc())) | ||
264 | |||
265 | def ltgt_process(self, img_path_list, label, excel_path, path): | ||
266 | ocr_res = self.ltgt_ocr_process(img_path_list, label, path) | ||
267 | self.ltgt_res_process(ocr_res, label, excel_path) | ||
268 | |||
269 | def images_process(self, img_path_list, classify, excel_path): | 210 | def images_process(self, img_path_list, classify, excel_path): |
270 | all_res = {} | 211 | all_res = {} |
271 | for img_path in img_path_list: | 212 | for img_path in img_path_list: |
... | @@ -279,20 +220,14 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -279,20 +220,14 @@ class Command(BaseCommand, LoggerMixin): |
279 | img_save_path, excel_path, pdf_save_path = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir) | 220 | img_save_path, excel_path, pdf_save_path = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir) |
280 | self.folder_log.info('{0} [pdf to img start] [path={1}]'.format(self.log_base, path)) | 221 | self.folder_log.info('{0} [pdf to img start] [path={1}]'.format(self.log_base, path)) |
281 | pdf_handler = PDFHandler(path, img_save_path) | 222 | pdf_handler = PDFHandler(path, img_save_path) |
282 | if classify in self.ltgt_classify_mapping: | 223 | pdf_handler.extract_image() |
283 | pdf_handler.extract_page_image() | ||
284 | else: | ||
285 | pdf_handler.extract_image() | ||
286 | self.folder_log.info('{0} [pdf to img end] [path={1}]'.format(self.log_base, path)) | 224 | self.folder_log.info('{0} [pdf to img end] [path={1}]'.format(self.log_base, path)) |
287 | except Exception as e: | 225 | except Exception as e: |
288 | self.folder_log.error('{0} [pdf to img error] [path={1}] [error={2}]'.format( | 226 | self.folder_log.error('{0} [pdf to img error] [path={1}] [error={2}]'.format( |
289 | self.log_base, path, traceback.format_exc())) | 227 | self.log_base, path, traceback.format_exc())) |
290 | raise e | 228 | raise e |
291 | else: | 229 | else: |
292 | if classify in self.ltgt_classify_mapping: | 230 | self.images_process(pdf_handler.img_path_list, classify, excel_path) |
293 | self.ltgt_process(pdf_handler.img_path_list, self.ltgt_classify_mapping[classify], excel_path, path) | ||
294 | else: | ||
295 | self.images_process(pdf_handler.img_path_list, classify, excel_path) | ||
296 | shutil.move(path, pdf_save_path) | 231 | shutil.move(path, pdf_save_path) |
297 | 232 | ||
298 | def tif_process(self, name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir): | 233 | def tif_process(self, name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir): |
... | @@ -308,10 +243,7 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -308,10 +243,7 @@ class Command(BaseCommand, LoggerMixin): |
308 | self.log_base, path, traceback.format_exc())) | 243 | self.log_base, path, traceback.format_exc())) |
309 | raise e | 244 | raise e |
310 | else: | 245 | else: |
311 | if classify in self.ltgt_classify_mapping: | 246 | self.images_process(tiff_handler.img_path_list, classify, excel_path) |
312 | self.ltgt_process(tiff_handler.img_path_list, self.ltgt_classify_mapping[classify], excel_path, path) | ||
313 | else: | ||
314 | self.images_process(tiff_handler.img_path_list, classify, excel_path) | ||
315 | shutil.move(path, tiff_save_path) | 247 | shutil.move(path, tiff_save_path) |
316 | 248 | ||
317 | def img_process(self, name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir): | 249 | def img_process(self, name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir): |
... | @@ -321,12 +253,9 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -321,12 +253,9 @@ class Command(BaseCommand, LoggerMixin): |
321 | self.folder_log.error('{0} [get path error] [path={1}] [error={2}]'.format( | 253 | self.folder_log.error('{0} [get path error] [path={1}] [error={2}]'.format( |
322 | self.log_base, path, traceback.format_exc())) | 254 | self.log_base, path, traceback.format_exc())) |
323 | else: | 255 | else: |
324 | if classify in self.ltgt_classify_mapping: | 256 | ocr_res = self.ocr_process(path, classify) |
325 | self.ltgt_process([path], self.ltgt_classify_mapping[classify], excel_path, path) | 257 | all_res = {path: ocr_res} |
326 | else: | 258 | self.res_process(all_res, classify, excel_path) |
327 | ocr_res = self.ocr_process(path, classify) | ||
328 | all_res = {path: ocr_res} | ||
329 | self.res_process(all_res, classify, excel_path) | ||
330 | shutil.move(path, img_save_path) | 259 | shutil.move(path, img_save_path) |
331 | 260 | ||
332 | def folder_process(self, input_dir, classify): | 261 | def folder_process(self, input_dir, classify): | ... | ... |
-
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